On The Epistemology Of Data Science
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On The Epistemology Of Data Science
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Author : Wolfgang Pietsch
language : en
Publisher: Springer Nature
Release Date : 2021-12-10
On The Epistemology Of Data Science written by Wolfgang Pietsch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-10 with Philosophy categories.
This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own? The author proposes a coherent conceptual framework with which these questions can be rigorously addressed. Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo’s recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework. The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science. Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science.
Scientific Data Mining And Knowledge Discovery
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Author : Mohamed Medhat Gaber
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-19
Scientific Data Mining And Knowledge Discovery written by Mohamed Medhat Gaber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-19 with Computers categories.
Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory discovery supported by studies in philosophy of science and cognitive sciences. Although early research articles have shown great successes, the area has not evolved due to many reasons. The most important reason was the lack of interaction between scientists and the automating systems.
Data Centric Biology
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Author : Sabina Leonelli
language : en
Publisher: University of Chicago Press
Release Date : 2016-11-18
Data Centric Biology written by Sabina Leonelli and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-18 with Philosophy categories.
Over the last two decades, digital access to data has revolutionized research methods and ways of doing science in the biological and biomedical fields. Prominent scientists have characterized this shift as leading to a new, data-intensive paradigm for research, encompassing innovative ways to produce, store, disseminate, and interpret huge masses of data. In this book Sabina Leonelli explores the epistemological challenges this poses to how life is researched and understood. By following how data travels across research contexts, and the role played by standards, theories, models, and human agency in shaping their evidential value, she shows the conditions under which digitally available data further our understanding of life. Turning to how the characteristics of data-intensive science bear on philosophical debates, Leonelli explores the shifting criteria for what counts as scientific evidence and how data are transformed into new knowledge. In short, she argues that a philosophical characterization of how data and knowledge move from one context to another is of fundamental importance to a productive philosophical understanding of contemporary scientific practices."
Foundations Of Data Science
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Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23
Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
Understanding Management Research
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Author : Phil Johnson
language : en
Publisher: SAGE
Release Date : 2000-12-08
Understanding Management Research written by Phil Johnson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-08 with Business & Economics categories.
'These sections represent the clearest rendition yet of these subjects, with difficult concepts introduced in a digestible form for the neophytic (or not so neophytic) researcher. Whilst in a book this size not every argument can be presented, there is ample extra material to be found to encourage further engagement... At the end of each chapter, there is a very useful Further Reading section provided by the authors, which gives useful guidelines. I believe to be an extremely useful text, which addresses what has until now been a significant gap in the market. This book will be my first choice in the future for introducing doctoral students of management-related subject to the philosophical underpinning they require for their studies. There is no other text which covers this area so clearly, so succinctly and in language that is readily accessible to a wide range of researcher back-grounds. I can enviSAGE this being a valuable source book to which researchers return again and again in order to deepen their understanding as research projects progress; it certainly provoked some new questions for me. To conclude, an excellent buy' - International Journal of Entrepreneurship and Innovation This is an invaluable introduction for all students and researchers of management confronting a new research project. Understanding Management Research provides an overview of the principal epistemological debates in social science and how these lead to and are expressed in different ways of conceiving and undertaking organizational research. For researchers and students who are increasingly expected to adopt a reflexive understanding of their own epistemological position, the authors present a concise, accessible guide to the different perspectives available and their implications for research output. All students undertaking empirical research for theses and dissertations will find this book helps them comprehend the key ongoing debates and engage with their own pre-understandings when trying to make sense of management and organizations.
The Epistemology Of Deceit In A Postdigital Era
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Author : Alison MacKenzie
language : en
Publisher: Springer Nature
Release Date : 2021-08-03
The Epistemology Of Deceit In A Postdigital Era written by Alison MacKenzie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-03 with Education categories.
This edited book collection offers strong theoretical and philosophical insight into how digital platforms and their constituent algorithms interact with belief systems to achieve deception, and how related vices such as lies, bullshit, misinformation, disinformation, and ignorance contribute to deception. This inter-disciplinary collection explores how we can better understand and respond to these problematic practices. The Epistemology of Deceit in a Postdigital Era: Dupery by Design will be of interest to anyone concerned with deception in a ‘postdigital’ era including fake news, and propaganda online. The election of populist governments across the world has raised concerns that fake news in online platforms is undermining the legitimacy of the press, the democratic process, and the authority of sources such as science, the social sciences and qualified experts. The global reach of Google, YouTube, Twitter, Facebook, and other platforms has shown that they can be used to create and spread fake and misleading news quickly and without control. These platforms operate and thrive in an increasingly balkanised media eco-system where networks of users will predominantly access and consume information that conforms to their existing worldviews. Conflicting positions, even if relevant and authoritative, are suppressed, or overlooked in everyday digital information consumption. Digital platforms have contributed to the prolific spread of false information, enabled ignorance in online news consumers, and fostered confusion over determining fact from fiction. The collection explores: Deception, what it is, and how its proliferation is achieved in online platforms. Truth and the appearance of truth, and the role digital technologies play in pretending to represent truth. How we can counter these vices to protect ourselves and our institutions from their potentially baneful effects. Chapter 15 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Applied Data Science In Tourism
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Author : Roman Egger
language : en
Publisher: Springer Nature
Release Date : 2022-01-31
Applied Data Science In Tourism written by Roman Egger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Business & Economics categories.
Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau
Global Epistemologies And Philosophies Of Science
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Author : David Ludwig
language : en
Publisher: Routledge
Release Date : 2021
Global Epistemologies And Philosophies Of Science written by David Ludwig and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Social Science categories.
In bringing together a global community of philosophers, Global Epistemologies and Philosophies of Science develops novel perspectives on epistemology and philosophy of science by demonstrating how frameworks from academic philosophy (e.g. standpoint theory, social epistemology, feminist philosophy of science) and related fields (e.g. decolonial studies, transdisciplinarity, global history of science) can contribute to critical engagement with global dimensions of knowledge and science. Global challenges such as climate change, food production, and infectious diseases raise complex questions about scientific knowledge production and its interactions with local knowledge systems and social realities. As academic philosophy provides relatively little reflection on global negotiations of knowledge, many pressing scientific and societal issues remain disconnected from core debates in epistemology and philosophy of science. This book is an invitation to broaden agendas of academic philosophy by presenting epistemology and philosophy of science as globally engaged fields that address heterogeneous forms of knowledge production and their interactions with local livelihoods, practices, and worldviews. This integrative ambition makes the book equally relevant for philosophers and interdisciplinary scholars who are concerned with methodological and political challenges at the intersection of science and society.
Ontology Epistemology And Teleology For Modeling And Simulation
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Author : Andreas Tolk
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-10
Ontology Epistemology And Teleology For Modeling And Simulation written by Andreas Tolk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-10 with Technology & Engineering categories.
In this book, internationally recognized experts in philosophy of science, computer science, and modeling and simulation are contributing to the discussion on how ontology, epistemology, and teleology will contribute to enable the next generation of intelligent modeling and simulation applications. It is well understood that a simulation can provide the technical means to display the behavior of a system over time, including following observed trends to predict future possible states, but how reliable and trustworthy are such predictions? The questions about what we can know (ontology), how we gain new knowledge (epistemology), and what we do with this knowledge (teleology) are therefore illuminated from these very different perspectives, as each experts uses a different facet to look at these challenges. The result of bringing these perspectives into one book is a challenging compendium that gives room for a spectrum of challenges: from general philosophy questions, such as can we use modeling and simulation and other computational means at all to discover new knowledge, down to computational methods to improve semantic interoperability between systems or methods addressing how to apply the recent insights of service oriented approaches to support distributed artificial intelligence. As such, this book has been compiled as an entry point to new domains for students, scholars, and practitioners and to raise the curiosity in them to learn more to fully address the topics of ontology, epistemology, and teleology from philosophical, computational, and conceptual viewpoints.
Data Science And Social Research
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Author : N. Carlo Lauro
language : en
Publisher: Springer
Release Date : 2017-11-17
Data Science And Social Research written by N. Carlo Lauro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-17 with Social Science categories.
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.